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medical-picture-process
《医学图像编程技术》,周振环。一书的源码(the source code of the "medical picture programing")
- 2012-03-14 15:02:31下载
- 积分:1
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FCM
利用模糊C聚类(FCM)的方法对彩色图像进行分割,期中可以用不通的特征向量来表征图像的特征(Using Fuzzy C-clustering (FCM) method for color image segmentation, mid-term feature vectors can be used unreasonable to characterize the image
Feature)
- 2012-03-27 03:29:54下载
- 积分:1
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2
说明: 使用opencv语言绘制所有轮廓后根据轮廓长度丢弃小轮廓(Opencv draw all contours of the language used under the contour length of the drop after the small contour)
- 2010-11-09 09:07:34下载
- 积分:1
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Denoise_wavelet_Mod_mojidazhi
基于小波模极大值算法来实现信号去噪,这是一维去噪程序代码。(Wavelet modulus maxima algorithm to achieve signal de-noising, which is one-dimensional de-noising procedure code.)
- 2014-04-25 19:56:39下载
- 积分:1
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基于小波变换的图像融合源代码
利用小波变换融合红外图像与可见光图像,提高图像质量(Infrared image and visible light image are fused by wavelet transform to improve image quality)
- 2017-10-19 11:32:21下载
- 积分:1
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OFDMPAPRCCDF
描述OFDM高峰均功率比(PAPR)的CCDF曲线,用MATLAB仿真的结果(Description OFDM peak-average power ratio (PAPR) of the CCDF curve, the results of simulation using MATLAB)
- 2020-11-01 19:29:54下载
- 积分:1
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史上最快人脸检测系统(超越OpenCV)
史上最快人脸检测系统(超越OpenCV)
- 2019-03-19下载
- 积分:1
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matlab
图像去模糊处理,分别运用了维纳滤波器、deconvreg方法、deconvlucy方法、盲反卷积等方法。非常实用(Image deblurring processing, namely the use of the Wiener filter, deconvreg method, deconvlucy methods, blind deconvolution methods. Very useful)
- 2020-11-06 01:09:50下载
- 积分:1
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演示
图像处理,图像分割,图像变换,图像特征提取,图像增强,图像编码压缩(Image processing, image segmentation, image transformation, feature extraction)
- 2020-06-25 01:20:02下载
- 积分:1
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利用SVM或者其他机器学习算法进行分类识别 LBP
(1)计算图像中每个像素点的LBP模式(等价模式,或者旋转不变+等价模式)。
(2)然后计算每个cell的LBP特征值直方图,然后对该直方图进行归一化处理(每个cell中,对于每个bin,h[i]/=sum,sum就是一副图像中所有等价类的个数)。
(3)最后将得到的每个cell的统计直方图进行连接成为一个特征向量,也就是整幅图的LBP纹理特征向量;
然后便可利用SVM或者其他机器学习算法进行分类识别了。((1) calculate the LBP pattern of each pixel in the image (equivalent mode, or rotation invariant + equivalent mode).
(2) then the LBP eigenvalue histogram of each cell is calculated, and then the histogram is normalized (for each cell, for each bin, h[i]/=sum, sum is the number of all the equivalent classes in a pair of images).
(3) finally, the statistical histogram of each cell is connected into a feature vector, that is, the LBP texture feature vector of the whole picture.
Then, SVM or other machine learning algorithms can be used for classification and recognition.)
- 2020-07-01 20:00:02下载
- 积分:1